Conducting Meta-Analytic Structural Equation Modeling with R

This workshop was offered at the 2024 ISDSA Meeting on Data Science and Psychology. https://meeting.isdsa.org

To receive a certificate for completing the workshop, please go to: https://academy.isdsa.org/moodle/cour...

The workshop will cover meta-analytic structural equation modeling (MASEM), which uses the techniques of meta-analysis and structural equation modeling to synthesize correlation matrices and fit hypothesized models on the combined correlation matrix. It can be used to test path models, confirmatory factor analytic models, and structural equation models from a pool of correlation matrices. MASEM offers the benefits of both meta-analysis and SEM.

During the workshop, I will provide an introduction to the basic theory of MASEM and demonstrate how to conduct the analyses with R. While some familiarity with R would be beneficial, the workshop is designed to be accessible to those who are new to the programming language.

Instructor:
Mike Cheung -- National University of Singapore

Professor Mike Cheung specializes in quantitative methods and conducts research in structural equation modeling, meta-analysis, and multilevel modeling. His work focuses on the integration of meta-analysis and structural equation modeling. He is an Associate Editor of Research Synthesis Methods and Neuropsychology Review and serves on the editorial boards of several journals. For more information, please visit https://mikewlcheung.github.io/.